WHY ONLY DATA MINING? A PILOT STUDY ON INADEQUACY AND DOMINATION OF DATA MINING TECHNOLOGY (original) (raw)

Role of Data Mining Technique: A Boon to Society

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

Datamining is a method of finding interested patterns from huge volume of data. Datamining techniques helps to make business decisions. It analyses information from multiple sources like DataMart, databases. In this paper, we are focussing on datamining tasks and its variety of applications in different fields, which is boon to the society.

Review of Data Mining Concept and its Techniques

International Journal of Academic Research in Business and Social Sciences, 2022

Nowadays, some of the intersting roles of human life are data, information, and knowledge. Analyzing and modelling of big data have been required by data massive storehouses together with the rapid technologies growth to predict and analyze the future trends of information. Methodologies and techniques, which are employed into diverse information systems scope, are needed for detection of knowing in the databases. The technology which extracts advantageous information to discover knowledge is called Data Mining. Data mining, it has been defined as discovery of knowledge in data (KDD), it is the disclosure of modalities procedures and other valuable information from considerable sets of data. It has been a tremendous progress in machine learning, artificial agent systems, and decision-making in the expert systems. In the last decades, most of the techniques and applications has been surveyed via the researchers. Those techniques and applications are utilized in distinct areas in daily life like industrialization, education, engineering, commerce and business. Searching last years researches about the review of the most techniques and trends of data mining in multiple areas was the method which is followed in this paper. It has discovered in the learning field as diffusing data mining for educating activities, improvement quality of tasks into manufacturing field, text mining as a technique into research databases and so on. This study collectes a summary of information about the basci concept of Data Mining and its technques which other researchers may need to start their studies in Data Mining field.

DATA MINING: A TECHNIQUE WITH WIDENING APPLICATIONS AND HAVING SOME ISSUES

Data mining, the extraction of hidden predictive information from large databases, invented as a powerful new technology with great potential to help companies and organizations to focus on the most important information in their data warehouses. Data mining uses machine learning, statistical and visualization techniques to discovery and present knowledge in a form which is easily comprehensible to humans. Various popular data mining tools and techniques are available today for supporting large amount of applications. Data mining tools predict future trends and behaviors, allowing it’s users to make proactive, knowledge-driven decisions. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. With these large amount of features and applications there are some challenging issues also which are not exclusive and are not ordered in any way. This paper presents an overview of the data mining technique, Some of its vital applications and issues needs to be addressed.

A Review on Data Mining from Past to the Future

Data and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information. Due to the importance of extracting knowledge/information from the large data repositories, data mining has become an essential component in various fields of human life. Advancements in Statistics, Machine Learning, Artificial Intelligence, Pattern Recognition and Computation capabilities have evolved the present day’s data mining applications and these applications have enriched the various fields of human life including business, education, medical, scientific etc. Hence, this paper discusses the various improvements in the field of data mining from past to the present and explores the future trends.

DATA MINING AND ITS TECHNIQUE: AN OVERVIEW

IJRCAR, 2015

Data mining has assumed a global proportion in every sector such as higher education, science, biodiversity information technology, mathematics geology and many more…Data mining provides a practical means for classification and distinction of tremendous amount of data related to any field of information .data mining is more of exploratory analysis. It basically aims at expanding the learning culture and helps in predicting the future need of that data.

Data Mining and its Various Concepts

Kalpa Publications in Engineering

Information mining is known as the extraction of concealed prescient data from expansive databases whose primary concentration is to enable organizations to concentrate on the most critical data to display in their information stockrooms. Data mining can in like manner be called as the examination of data and the use of the distinctive programming techniques for finding illustrations and regularities in the given courses of action of data. The articulation "Electronic exchange" (or web business) ordinarily implies the usage of an electronic medium to finish all the business trades. Numerous a times it alludes to the offer of items by means of Internet, however it likewise incorporates the acquiring of systems through Internet. This primary concentration of this paper is to give the fundamental presentation about the different information mining methods accessible and furthermore to break down these procedures based on their execution. The paper additionally characterizes t...

Rise of Data Mining: Current and Future Application Areas

ijcsi.org

Knowledge has played a significant role on human activities since his development. Data mining is the process of knowledge discovery where knowledge is gained by analyzing the data store in very large repositories, which are analyzed from various perspectives and the result is summarized it into useful information. Due to the importance of extracting knowledge/information from the large data repositories, data mining has become a very important and guaranteed branch of engineering affecting human life in various spheres directly or indirectly. Advancements in Statistics, Machine Learning, Artificial Intelligence, Pattern recognition and Computation capabilities have given present day's data mining functionality a new height. Data mining have various applications and these applications have enriched the various fields of human life including business, education, medical, scientific etc. Objective of this paper is to discuss various improvements and breakthroughs in the field of data mining from past to the present and also to explores the future trends.

AN EMPIRICAL ANALYSIS ON DATA MINING SYSTEM AND ITS TECHNIQUES

Data mining is an extraction of knowledge discovery from huge amount of data which is previously unknown and potentially useful for analytical processing and decision making. The other acronyms of data mining are such as Data archeology, Data dredging, Information harvesting and Business Intelligence. The various data mining techniques are used to find the hidden interestingness or new patter to store the data. These techniques and approaches of data mining can efficiently build the new environment for analyzing and predictions. This paper highlights data mining process and its various techniques to find the interestingness. Finally, concluded with its limitations. The objective of the paper is opens new horizons for researchers of forthcoming generations.

Data Mining Technique its Needs and Using Applications

2014

Data mining is a process of using different algorithms to find useful patterns or models from data. It is a process of selecting, exploring and modeling large amount of data. Mostly used in technology and also used in different areas of real life like finance, marketing, business. It can also be used in different social science methodologies, such as psychology, cognitive science and human behavior etc. The ability to continually change and acquire new understanding is a driving force for the application of DM. This allows many new future applications of data mining (1) as in today's world the need of data in every field is growing very vast. So, for satisfying our need there should be proper Data Mining techniques available. In this paper we are presenting valuable information about data mining.

Study of Data Mining and Understanding its Types, Methods and Techniques

International Journal on Recent and Innovation Trends in Computing and Communication

Data mining is the process of identification of the patterns and trends in large and complex data volumes. The normal data processing will not be helpful in handling such complex data. Hence data mining is used to handle such large volumes of the data. This paper will explain the steps of data mining process, types of data mining. It will also explain the importance and advantages of the data mining and challenges involved in the implementation of the data mining.